class_docstr: Generate views by random transformation (augmentation) on given batched graphs, 
  where each graph in the batch is treated independently. Class objects callable via 
  method :meth:`views_fn`.
  
  Args:
      candidates (list): A list of callable view generation functions (classes).
code: def __init__(self, candidates):
      self.candidates = candidates
  
file_path: DIG/dig/sslgraph/method/contrastive/views_fn/combination.py
imports: import random
  from torch_geometric.data import Batch
label_desc: Use image node_id 1 to create a new RandomView object  with example: obj = RandomView(candidates)